Understanding networks.
Making their resources go further.
I’m Pooya Hejazi. I study how wireless networks can use limited spectrum, energy and storage more effectively. My work connects mathematical optimization with machine learning, from adaptive data storage in sensor networks to user-centric cell-free massive MIMO and pilot-efficient channel estimation for 6G.
Alongside research, I have taught computer networks, information security, operating systems, simulation and computer architecture, and I review manuscripts in networked and distributed systems. My research interaction with the University of Parma includes a completed 2017 visit, a separate 2018 invitation, and joint work on energy- and memory-efficient IoT data-loss prevention.
Current work explores Bayesian channel estimation for cell-free massive MIMO with pilot reuse and imperfect line-of-sight phase tracking. The focus is on how phase uncertainty and channel correlations affect inference and receiver design. Methods and system-level validation remain under development.
Work in progress.
Most recent first.
Refine an initial least-squares estimate with a trained convolutional model.
Learn user grouping and resource assignments from optimization-generated examples.
Coordinate replication with the energy and memory available to sensor nodes.
Adapt data storage to the balance between events and queries.
Academic formation
Study periods below use the Solar Hijri calendar as reported in the CVs. No exact Gregorian date of degree conferral is inferred.
Amirkabir University of Technology
The doctoral degree and study period are reported in both supplied CVs. No exact date of degree conferral is added here.
Source: supplied academic CV · pp. 1, 6
Amirkabir University of Technology
Research developed around data-centric storage, replication and wireless sensor networks.
Source: supplied academic CV · pp. 1, 5, 6
Shahid Beheshti University
Study period reported in the supplied CVs; Solar Hijri years are retained rather than assigning unsupported Gregorian dates.
Source: supplied academic CV · p. 1
Teaching and course development in computer networks and information security, alongside university instruction in architecture, operating systems, simulation and programming.
CV-reported peer review in sensor networks, wireless communications, computer networks, IoT and distributed systems.
International research interaction
A confirmed earlier visit, a later invitation and a joint publication are three different forms of evidence.
January–February 2017
Completed visit corroborated by a later letter
Research interaction on efficient data-centric information storage and retrieval in wireless sensor networks. The December 2017 letter explicitly refers to the preceding two-month visit in January–February 2017.
Source: supplied academic CV · pp. 10, 11
February 2018
Invitation, not confirmation of attendance
A letter dated 11 December 2017 invites a one-month visit to the University of Parma for research in wireless sensor networking and efficient data-centric storage and retrieval.
Source: supplied academic CV · p. 10
2020
Published article already in the research collection
The supplied CV includes the first page of the joint paper with Gianluigi Ferrari on energy- and memory-efficient data-loss prevention for Internet of Things networks.
Read the publication →Source: supplied academic CV · pp. 6, 13
